Beginners should undertake data science projects as they provide practical experience and help in the application of theoretical concepts learned in courses, building a portfolio and enhancing skills.

Did you know that over 80% of AI projects fail? That's twice the failure rate of regular IT projects. A Gartner survey found that only 48% of AI projects make it to production, and it typically takes ...

Capstone projects are academic semester-long experiences for students nearing graduation. Student teams complete a substantial data science project that solidifies knowledge gained in the classroom ...

When working on a data-driven project, finding reliable and high-quality data sets is essential. Fortunately, there are several free sources available that provide access to a wide range of data sets ...

Learn how to use Google Colab for coding, data science, and AI projects with this beginner-friendly guide. Free GPU access ...

Responding to an impending hazard means that time is limited, so analysis and decision-making must proceed on an accelerated timetable. Modeling, numerical simulation, leading to predictive capacity, ...

Nino Letteriello is a data and project management leader, DAMA Award winner, WEF author, UN advisor, MIT lecturer & FIT Group co-founder. A significant percentage of data science projects continue to ...

Most go off course. To make sure yours succeed, consider these five steps. by Iavor Bojinov When I worked as a data scientist at LinkedIn in 2018 and 2019, AI was of interest only to a small team of ...